西丹麦心肌灌注成像登记:回顾和验证研究。

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2024-12-05 eCollection Date: 2024-01-01 DOI:10.2147/CLEP.S469538
Jacob Hartmann Søby, Morten Schmidt, Louise Nissen, June Anita Ejlersen, Lars Christian Gormsen, Kasper Tholstrup Pedersen, Paw Christian Holdgaard, Jesper Mortensen, Laust Dupont Rasmussen, Søren Ravn, Rika Horvat, Simon Winther, Morten Böttcher
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引用次数: 0

摘要

目的:自2017年以来,单光子发射计算机断层扫描和正电子发射断层扫描成像的心肌灌注成像(MPI)程序已在西丹麦心脏登记处(WDHR)注册为子登记处(WDHR-MPI)。目的是回顾WDHR-MPI的内容、质量和研究潜力,并评估其关键变量的完整性和有效性。患者和方法:以丹麦国家患者登记处(DNPR)为参考,我们计算了2017年至2021年WDHR-MPI中登记的手术的比例,即手术登记的完整性。我们将变量注册的完整性定义为给定变量的非缺失值的比例,并对38个关键变量进行了检查。我们通过使用从300个随机选择的患者记录中提取的相应信息,估计26个选定的关键变量的阳性预测值(PPV)和阴性预测值(NPV),其95%置信区间(CI)来评估有效性。结果:我们在所有七个心脏中心的17,871例患者中确定了19,084例手术,这些患者在WDHR摄取区进行了核心脏病学手术。从2019年到2021年,该登记处每年积累4000-6000个程序。手术登记的总体完成度为72% (95% CI 72-73),从2017年的14% (95% CI 13-15)增加到2021年的98% (95% CI 98-98)。变量注册的平均完备性为89%。输入数据的有效性很高,所选关键变量的总体PPV为95% (95% CI 94-95), NPV为94% (95% CI 93-96)。结论:WDHR-MPI是最大的系统性MPI队列之一。数据的总体高完整性和有效性支持其在心脏流行病学研究中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Western Denmark Myocardial Perfusion Imaging Registry: A Review and Validation Study.

Purpose: Myocardial perfusion imaging (MPI) procedures from single photon emission computed tomography and positron emission tomography imaging have been registered in the Western Denmark Heart Registry (WDHR) since 2017 as a sub-registry (WDHR-MPI). The aim was to review the content, quality, and research potential of the WDHR-MPI and assess the completeness and validity of its key variables.

Patients and methods: Using the Danish National Patient Registry (DNPR) as a reference, we calculated the completeness of procedure registration as the proportion of procedures registered in the WDHR-MPI from 2017 to 2021. We defined completeness of variable registration as the proportion of non-missing values for a given variable and examined it for 38 key variables. We assessed validity by estimating the positive predictive values (PPV) and negative predictive values (NPV) with 95% confidence intervals (CI) for 26 selected key variables using corresponding extracted information from 300 randomly selected patient records.

Results: We identified 19,084 procedures in 17,871 patients from all seven cardiac centers performing nuclear cardiology procedures in the WDHR uptake area. The registry accumulated 4000-6000 procedures each year from 2019 to 2021. The overall completeness of procedure registration was 72% (95% CI 72-73), increasing from 14% (95% CI 13-15) in 2017 to 98% (95% CI 98-98) in 2021. The mean completeness of variable registration was 89%. The validity of entered data was high, with an overall PPV for the selected key variables of 95% (95% CI 94-95) and NPV of 94% (95% CI 93-96).

Conclusion: The WDHR-MPI is one of the largest systematic MPI cohorts. The overall high completeness and validity of the data support its potential for cardio-epidemiological research.

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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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